NotebookLM for Work
Use Google NotebookLM to turn trusted sources into grounded research syntheses, reusable context, and business-ready outputs for sales prep, reports, and AI project workflows.
- Beginner
- 7 lessons
- 44 min
- Taught by Nate Grahek
What you'll learn
- Build Research Notebooks Turn files, websites, videos, and internal materials into a focused knowledge base for business research and execution.
- Engineer Better Context Use stored sources, examples, and constraints to reduce generic AI output and support repeatable work.
- Prepare for Meetings Research companies, identify risks and opportunities, and prepare sharper talking points before sales calls or meetings.
- Create Reusable Outputs Synthesize expert content from multiple sources into structured guides, reports, tables, and reusable reference material.
- Manage Source Quality Find, review, refine, and remove sources so each notebook stays accurate, relevant, and grounded in trusted material.
- Connect AI Workflows Move distilled insights into Gemini, gems, projects, docs, or sheets to support drafting, planning, and production workflows.
Lessons 7 lessons · 44 min
Every lesson comes with Pro, $29 a month.
- Lesson 1: Introduction to NotebookLM for Work 4 min
- Lesson 2: Why Context Matters in AI Workflows 7 min
- Lesson 3: Bamboo Lab Sales Prep Demo 8 min
- Lesson 4: Researching and Synthesizing YouTube Expertise 7 min
- Lesson 5: Building Research Bases and Deep Research 6 min
- Lesson 6: Studio Outputs: Reports, Infographics, and Tables 8 min
- Lesson 7: NotebookLM in Gemini and Closing Remarks 5 min
Your teacher
Nate Grahek
SaaS founder and Fractional CMO
Nate is a SaaS founder and Fractional CMO who helps product-driven businesses build marketing systems that actually work — without the fluff. He's spent years helping founders and operators cut through marketing complexity and put the right things on autopilot. At Rundown University, Nate brings that same hands-on, no-jargon approach to AI education. His workshops and courses focus on practical automation and AI workflows you can deploy the same day — no engineering background required. If you've ever wanted to use AI to get your time back, Nate shows you exactly how.